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Proceedings Paper

Symbol-by-symbol maximum likelihood (ML) detection with reduced complexity over multicarrier systems
Author(s): Shang-Ho Tsai; Xiaoli Yu; C.-C. Jay Kuo
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Paper Abstract

A symbol-by-symbol maximum likelihood (ML) detection scheme for multicarrier (MC) systems is proposed in this work. When the number of subchannels is sufficiently large, the received symbols across all subchannels are approximately uncorrelated. Then, the proposed symbol-by-symbol ML detection, which is obtained by minimizing the symbol error probability, is nearly optimal. Furthermore, we will show how to reduce the complexity of the symbol-by-symbol ML detection when the constellation size is large. Simulation results show that the proposed symbol-by-symbol ML detection scheme outperforms the symbol-by-symbol minimum distance (MD) detection scheme by up to 2 dB in a noisy environment with crosstalk such as the DMT-ADSL system.

Paper Details

Date Published: 10 August 2004
PDF: 11 pages
Proc. SPIE 5440, Digital Wireless Communications VI, (10 August 2004); doi: 10.1117/12.541979
Show Author Affiliations
Shang-Ho Tsai, Univ. of Southern California (United States)
Xiaoli Yu, Univ. of Southern California (United States)
C.-C. Jay Kuo, Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 5440:
Digital Wireless Communications VI
Raghuveer M. Rao; Sohail A. Dianat; Michael D. Zoltowski, Editor(s)

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